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Showing 1-20 of 91 results
  1. Large Deviations Principle for Stochastic Delay Differential Equations with Super-linearly Growing Coefficients

    We utilize the weak convergence method to establish the Freidlin–Wentzell large deviations principle (LDP) for stochastic delay differential...

    Diancong **, Ziheng Chen, Tau Zhou in Frontiers of Mathematics
    Article 30 June 2024
  2. Functional Large Deviations for Kac–Stroock Approximation to a Class of Gaussian Processes with Application to Small Noise Diffusions

    In this paper, we establish the functional large deviation principle (LDP) for the Kac–Stroock approximations of a wild class of Gaussian processes...

    Jiang Hui, Xu Lihu, Yang Qingshan in Journal of Theoretical Probability
    Article 27 June 2024
  3. Mittag–Leffler Euler Integrator and Large Deviations for Stochastic Space-Time Fractional Diffusion Equations

    Stochastic space-time fractional diffusion equations often appear in the modeling of the heat propagation in non-homogeneous medium. In this paper,...

    **njie Dai, Jialin Hong, Derui Sheng in Potential Analysis
    Article 08 August 2023
  4. Large Deviation Principle for a Class of Stochastic Partial Differential Equations with Fully Local Monotone Coefficients Perturbed By Lévy Noise

    The asymptotic analysis of a class of stochastic partial differential equations (SPDEs) with fully local monotone coefficients covering a large...

    Ankit Kumar, Manil T. Mohan in Potential Analysis
    Article 25 May 2024
  5. Rigorous Results in Space-Periodic Two-Dimensional Turbulence

    We survey the recent advance in the rigorous qualitative theory of the 2d stochastic Navier–Stokes system that are relevant to the description of...
    Sergei Kuksin, Armen Shirikyan in Partial Differential Equations and Functional Analysis
    Chapter 2023
  6. LDP and CLT for SPDEs with transport noise

    In this work we consider solutions to stochastic partial differential equations with transport noise, which are known to converge, in a suitable...

    Article Open access 28 March 2023
  7. Large Deviations and Averaging for Stochastic Tamed 3D Navier–Stokes Equations with Fast Oscillations

    In this paper, we first study the strong averaging principle for stochastic tamed 3D Navier–Stokes equation with fast oscillations, which can be...

    Wei Hong, Miaomiao Li, ... Wei Liu in Applied Mathematics & Optimization
    Article 05 July 2022
  8. Analysis of stochastic neutral fractional functional differential equations

    This work deals with the large deviation principle which studies the decay of probabilities of certain kind of extremely rare events. We consider...

    Alagesan Siva Ranjani, Murugan Suvinthra, ... Yong-Ki Ma in Boundary Value Problems
    Article Open access 12 July 2022
  9. Large deviation principle for stochastic convective Brinkman–Forchheimer equations perturbed by pure jump noise

    This paper concerns some asymptotic analysis of stochastic convective Brinkman–Forchheimer (SCBF) equations subjected to multiplicative pure jump...

    Manil T. Mohan in Journal of Evolution Equations
    Article 09 August 2021
  10. Fluctuating-rate model with multiple gene states

    Multiple phenotypic states of single cells often co-exist in the presence of positive feedbacks. Stochastic gene-state switchings and low copy...

    **gwei Li, Hao Ge, Yunxin Zhang in Journal of Mathematical Biology
    Article 30 September 2020
  11. Large Deviation Principle for Multi-Scale Stochastic Systems with Monotone Coefficients

    The Freidlin–Wentzell’s large deviation principle is established for a class of multi-scale stochastic models involving slow–fast components, where...

    Article 23 May 2024
  12. Large deviation principle for quasi-stationary distributions and multiscale dynamics of absorbed singular diffusions

    The present paper is devoted to the investigation of an important family of absorbed singular diffusion processes exhibiting long transient dynamics,...

    Weiwei Qi, Zhongwei Shen, Yingfei Yi in Probability Theory and Related Fields
    Article 12 December 2023
  13. Uniform Large Deviation Principle for the Solutions of Two-Dimensional Stochastic Navier–Stokes Equations in Vorticity Form

    The main objective of this paper is to demonstrate the uniform large deviation principle (UDLP) for the solutions of two-dimensional stochastic...

    Ankit Kumar, Manil T. Mohan in Applied Mathematics & Optimization
    Article 17 June 2024
  14. Stochastic differential equations

    We identify the solution to a rough differential equation driven by the Itˆo or Stratonovich lift of Brownian motion with the solution to the...
    Peter K. Friz, Martin Hairer in A Course on Rough Paths
    Chapter 2020
  15. KPZ equation with a small noise, deep upper tail and limit shape

    Pierre Yves Gaudreau Lamarre, Yier Lin, Li-Cheng Tsai in Probability Theory and Related Fields
    Article 13 January 2023
  16. Stochastic Doubly Nonlinear PDE: Large Deviation Principles and Existence of Invariant Measure

    In this paper, we establish large deviation principle for the strong solution of a doubly nonlinear PDE driven by small multiplicative Brownian...

    Ananta K. Majee in Potential Analysis
    Article 10 July 2023
  17. Large Deviation Principle for McKean–Vlasov Quasilinear Stochastic Evolution Equations

    This paper is devoted to investigating the Freidlin–Wentzell’s large deviation principle for a class of McKean–Vlasov quasilinear SPDEs perturbed by...

    Wei Hong, Shihu Li, Wei Liu in Applied Mathematics & Optimization
    Article 02 July 2021
  18. Central limit type theorem and large deviation principle for multi-scale McKean–Vlasov SDEs

    The main aim of this work is to study the asymptotic behavior for multi-scale McKean–Vlasov stochastic dynamical systems. Firstly, we obtain a...

    Wei Hong, Shihu Li, ... **aobin Sun in Probability Theory and Related Fields
    Article 17 June 2023
  19. Large Deviations of Stochastic Heat Equations with Logarithmic Nonlinearity

    In this paper, we establish a large deviation principle for the solutions to the stochastic heat equations with logarithmic nonlinearity driven by...

    Tianyi Pan, Shijie Shang, Tusheng Zhang in Potential Analysis
    Article 11 June 2024
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